supported in part by National Natural Science Foundation of China (Grant Nos. 62473284, 61973064);Hebei Natural Science Foundation (Grant No. F2022501024)。
This paper addresses the controllability measures of composite networks based on graph products, in which the graph product networks are either Kronecker product networks or Kronecker sum networks.The primary objectiv...
supported by National Key R&D Program of China(Grant No.2020YFA0713901);National Natural Science Foundation of China(Grant Nos.61921006,62192783);Fundamental Research Funds for the Central Universities(Grant No.020214380108).
Binary neural networks have become a promising research topic due to their advantages of fast inference speed and low energy consumption.However,most existing studies focus on binary convolutional neural networks,whil...
supported by National Key Research and Development Program of China(Grant Nos.2021YFA1101303,2019YFE0121800);Science&Technology Foundation of Shanghai(Grant No.20JC1415600);National Natural Science Foundation of China(Grant Nos.62074111,62088101);Innovation Program of Shanghai Municipal Education Commission(Grant No.2021-01-07-00-07-E00096);Shanghai Municipal Science and Technology Major Project(Grant No.2021SHZDZX0100);Natural Science Foundation of Shandong Province(Grant Nos.ZR2022QB009,ZR2022MF246)。
The von Neumann bottleneck is a critical limitation in synaptic devices.Therefore,artificial synaptic devices resembling biological neuromorphic synapses have been developed to overcome the von Neumann bottleneck.Howe...
supported in part by National Natural Science Foundation of China (Grant No.62171362)。
Extensive efforts have been made in designing large multiple-input multiple-output(MIMO)arrays.Nevertheless,improvements in conventional antenna characteristics cannot ensure significant MIMO performance improvement i...
supported by National Natural Science Foundation of China (Grant Nos.61991420,61991421,61991424,62101535)。
The mainstream methods of tomographic synthetic aperture radar(tomoSAR)3D reconstruction are usually realized by processing the registered 2D SAR images pixel by pixel without considering the geometric structure of th...
supported by Fund of China University of Ptroleum (Grant No.21CX06042A);National Natural Science Foundation of China (Grant Nos.62072449,61972271);Macao FDCT Grant (Grant No.0018/2019/AKP);Science and Technology Development Fund,Macao SAR (Grant Nos.0018/2019/AKP,SKL-IOTSC (UM)-2021-2023);Guangdong Science and Technology Department (Grant Nos.2018B030324002,2020B1515130001);Zhuhai Science and Technology Innovation Bureau (Grant No.ZH22017002200001PWC);Jiangsu Science and Technology Department (Grant No.BZ2021061);University of Macao (Grant No.MYRG2020-00253-FST)。
We introduce an improved position-based dynamics method with corrected smoothed particle hydrodynamics(SPH)kernel to simulate deformable solids.Using a strain energy constraint that follows the continuum mechanics,the...
supported by National Natural Science Foundation of China(Grant Nos.61971366,61731012);Fundamental Research Funds for the Central Universities(Grant No.20720200077);Natural Science Foundation of Fujian Province of China(Grant No.2020J01430)。
Unmanned aerial vehicles(UAVs)with limited energy resources,severe path loss,and shadowing to the ground base stations are vulnerable to smart jammers that aim to degrade the UAV communication performance and exhaust ...
National Natural Science Foundation of China(Grant Nos.61831013,61971126,61941104,61921004).
In this paper,we investigate a user scheduling algorithm for massive multiple-input multipleoutput(MIMO)systems over more general correlated Rician fading channels.To achieve low latency and high throughput,a new user...
supported by National Natural Science Foundation of China (Grant Nos. 61773371,61733018)。
Dear editor,The fictitious play(FP) was initially proposed by Brown [1]in 1951 as a handy learning rule. The main idea of FP can be described as follows: In a game process, the player who adopts FP assumes that the ot...
supported by National Key Research and Development Program of China(Grant No.2019YFB1803501);National Natural Science Foundation of China(Grant No.61771284);Beijing Natural Science Foundation(Grant No.L182043)。
In this paper, a new architecture of optoelectronic convolutional neural networks(CNNs) based on time-stretch method is proposed. In this loop-shaped structure mainly composed of fiber optical and electronic devices, ...